Kagi Summary: The document discusses whether training artificial intelligence (AI) systems on large amounts of copyrighted material constitutes fair use under

Kagi Summary: The document discusses whether training artificial intelligence (AI) systems on large amounts of copyrighted material constitutes fair use under copyright law. It argues that AI training should be considered a fair use for several reasons: - AI training is highly transformative - the purpose is to develop useful systems, not expressive communication. This weighs strongly in favor of fair use according to court precedent. - It has little impact on the original works' markets, since AI systems consume data non-expressively. Authors lose no audience. - Analogous cases found search engines' indexing and displaying of thumbnails/snippets as fair use due to their transformative nature. AI training is even more transformative. - Strict copyright barriers could jeopardize AI's social benefits and drive innovation abroad. Other legal tools like infringement suits are better to address potential harms. In conclusion, the document makes a compelling case that under current law, training AI systems should qualify as a fair use of copyrighted works to avoid hampering an important technology with significant potential benefits.